Data Analyst
@ Confidential

Hybrid
$85,000
Hybrid
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @confidential.com
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Job Details

About Confidential Data Analyst Role

The Data Analyst will collect, interpret, and transform data into actionable insights for a fast-growing software company headquartered in Riyadh. This full-time remote position involves close collaboration with product, engineering, and business teams to optimize performance and support strategic decision-making.

Key Responsibilities

  • Collect, clean, and analyze large datasets to maintain accuracy.
  • Build and maintain dashboards, reports, and visualizations for KPIs.
  • Provide data-driven insights to support product and strategy.
  • Work with stakeholders to define data requirements and deliver solutions.
  • Identify trends, patterns, and anomalies to drive improvements.
  • Collaborate with engineering to enhance data pipelines.
  • Document methodologies and share findings internally.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
  • 3+ years of experience as a Data Analyst, preferably in tech or software.
  • Strong proficiency in SQL and experience with data visualization tools like Tableau, Power BI, or Looker.
  • Familiarity with Python, R, or similar data analysis languages is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Fluency in English; Arabic is an advantage.

What’s Offered

  • Competitive compensation package.
  • Opportunity to work with an innovative software company leveraging data for growth.
  • Exposure to cross-functional projects.
  • Career growth potential in a data-driven, collaborative environment.

Key Skills/Competency

  • Data Analysis
  • SQL
  • Data Visualization
  • Tableau
  • Power BI
  • Python
  • Data Cleaning
  • Dashboarding
  • Analytical Thinking
  • Collaboration
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How to Get Hired at Confidential

🎯 Tips for Getting Hired

  • Research Confidential's culture: Study their mission, values, and employee reviews.
  • Customize your resume: Highlight relevant data analysis and SQL skills.
  • Showcase portfolio: Present dashboards, reports, and projects.
  • Prepare for technical questions: Review SQL and data visualization scenarios.

📝 Interview Preparation Advice

Technical Preparation

Practice complex SQL queries.
Build sample dashboards with Tableau.
Analyze large datasets using Python.
Review data pipeline concepts.

Behavioral Questions

Describe a challenging data project.
Explain cross-team collaboration experience.
Discuss handling tight deadlines.
Share problem-solving examples.

Frequently Asked Questions